Update README.md

README.md

@@ -1,12 +1,155 @@
 ---
 license: mit
 task_categories:
-- text-generation
-- text-classification
+  - text-generation
+  - text-classification
 language:
-- my
+  - my
 tags:
-- MyanmarSentences
-- Burmese
-- BurmeseSentences
----
+  - MyanmarSentences
+  - Burmese
+  - BurmeseSentences
+---
+
+# 🧠 1_pattern_10Kplus_myanmar_sentences
+
+A structured dataset of **11,452 Myanmar sentences** generated from a single, powerful grammar pattern:
+
+### 📌 Pattern:
+**`Verb လည်း Verb တယ်။`**  
+> A natural way to express repetition, emphasis, or causal connection in Myanmar.
+
+---
+
+## 💡 About the Dataset
+
+This dataset demonstrates how applying just **one syntactic pattern** to a curated verb list — combined with syllable-aware rules — can produce a high-quality corpus of over **10,000 valid Myanmar sentences**.
+
+Each sentence is:
+- Grammatically valid
+- Syllable-tokenized
+- Pattern-consistent
+- Cleaned and filtered
+
+---
+
+## 🔁 Pattern in Use
+
+Examples:
+- ချစ်လည်း ချစ်တယ်။
+- ကစားလည်း ကစားတယ်။
+- ကံကြီးလည်း ထိုက်တယ်။
+- ခေါင်းချင်းဆိုင်လည်း တိုက်တယ်။
+
+---
+
+## 📏 Rules in Use
+
+| Syllable Count | Rule Name         | Sentence Format                            | # of Sentences Generated |
+|----------------|-------------------|---------------------------------------------|---------------------------|
+| 1              | Rule_1_Syllable   | `Aလည်း Aတယ်။`                              | 1                         |
+| 2              | Rule_2_Syllable   | `Aလည်း Bတယ်။` and `Aလည်း ABတယ်။`          | 2 (dual sentences)        |
+| 3              | Rule_3_Syllable   | `ABလည်း Cတယ်။`                             | 1                         |
+| 4              | Rule_4_Syllable   | `ABCလည်း Dတယ်။`                            | 1                         |
+| 5+             | Rule_{N}_Syllable | `ABCD...လည်း Zတယ်။`                        | 1 per item                |
+
+---
+
+## 📁 Dataset Format
+
+Each row in the CSV contains:
+
+| Column           | Description                                      |
+|------------------|--------------------------------------------------|
+| `my_sentence`    | The full generated Myanmar sentence              |
+| `my_word`        | The original verb the sentence is based on       |
+| `my_subword`     | List of syllable-level tokens (as a string list) |
+| `subword_number` | Number of syllables in `my_word`                 |
+
+**Example:**
+
+```text
+my_sentence: ကလည်း ကတယ်။
+my_word: က
+my_subword: ["က"]
+subword_number: 1
+```
+## 🤯 Why It’s Special
+```
+	•	✅ Only one pattern → yet over 11,000 real Myanmar sentences
+	•	✅ Rule logic scales across syllable complexity
+	•	✅ Cleaned, structured, and easy to extend
+	•	✅ Represents real grammar, not artificial templates
+```
+---
+
+## 😅 Problems We Faced
+
+We started with a large list of Myanmar verbs and applied a syllable-level tokenizer to break each verb into structured chunks. Based on syllable count, we applied one of six rules to generate sentences.
+
+Challenges included:
+```
+	•	Unicode inconsistencies (e.g., ဥ် vs ဉ်, န့် vs န့်)
+	•	Visually similar characters causing mis-splitting
+	•	Manual review needed for edge cases
+	•	Some grammatically valid outputs lacked semantic sense
+
+```
+
+## 🔮 Future Plans
+
+This is just Pattern 1.
+
+Coming soon:
+	•	မ V နဲ့။
+
+We aim to build a full-scale, pattern-rich Myanmar corpus — one rule at a time.
+
+⸻
+
+## 🎯 Use Cases
+	•	Fine-tune sentence generation models
+	•	Train grammar correction systems
+	•	Build linguistic datasets for Myanmar NLP
+	•	Teach Myanmar grammar through concrete patterns
+	•	Benchmark syllable tokenizers
+
+⸻
+
+## 🧪 Quality & Manual Review
+
+Even though all sentences were generated using grammatical rules, not all combinations may sound natural or meaningful in everyday Myanmar.
+
+📝 This dataset should be manually reviewed by native speakers to ensure each sentence:
+	•	Sounds natural
+	•	Makes semantic sense
+	•	Feels appropriate for real-world use
+
+That said — even if you:
+	•	Remove awkward or illogical samples
+	•	Filter or adjust by context
+	•	Expand with more rules and patterns
+
+➡️ You’ll still retain 10K+ high-quality, structured Myanmar sentences.
+
+### ⚠️ Please don’t use this dataset blindly for production training without native review.
+
+⸻
+
+## 📜 License
+
+MIT — free to use, adapt, remix, or improve.
+But give credit where it’s due 💛
+
+⸻
+
+## 🔗 Citation
+
+```
+@dataset{myanmar_verb_pattern_2025,
+  title={1 Pattern 10K+ Myanmar Sentences},
+  author={freococo},
+  year={2025},
+  url={https://huggingface.co/datasets/freococo/1_pattern_10Kplus_myanmar_sentences}
+}
+```